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AI Product Case Studies Deep Dive
Study the product decisions behind the most impactful AI products. Each module focuses on a different product, extracting lessons about growth, integration, design, and strategy that you can apply to your own work.
3 modules13 steps~3 hours
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Path Progress: 0% (0/13 steps)▾
○Module 1: ChatGPT: Growth and Conversational Design0/5
○Module 2: AI Integration: GitHub Copilot and Notion AI0/4
○Module 3: AI Design Lessons: Figma and Beyond0/4
After completing this path, you will be able to:
- ✓Analyze what made specific AI products succeed or fail
- ✓Extract reusable patterns from real AI product launches
- ✓Apply lessons from ChatGPT, GitHub Copilot, Notion AI, and Figma AI to your own products
- ✓Compare different approaches to AI product integration
Learning Objectives
- •Understand the product decisions that drove ChatGPT's explosive growth
- •Analyze the conversational UX decisions behind the interface
- •Extract lessons about AI product-led growth
Learning Objectives
- •Compare "AI-native" vs. "AI-integrated" product strategies
- •Understand the trade-offs of deep vs. surface-level AI integration
- •Design an AI integration approach for an existing product
Learning Objectives
- •Understand how Figma introduced AI to a skeptical design community
- •Extract design principles from successful AI product launches
- •Apply cross-case lessons to your own product
Path Progress
0% complete0/13 steps
○ChatGPT: Growth and Conversational Design0/5
○AI Integration: GitHub Copilot and Notion AI0/4
○AI Design Lessons: Figma and Beyond0/4
0 of 13 steps completed